code: def setUp(self):
      super(EncodeListwiseFeaturesTest, self).setUp()
      (
          context_feature_columns,
          example_feature_columns,
          custom_objects,
      ) = _get_feature_columns()
      self._context_feature_columns = context_feature_columns
      self._example_feature_columns = example_feature_columns
      self._custom_objects = custom_objects
  
      # Batch size = 2, list_size = 2.
      self._features = _features()
      self._listwise_dense_layer = feature.EncodeListwiseFeatures(
          context_feature_columns=self._context_feature_columns,
          example_feature_columns=self._example_feature_columns,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import six
  import tensorflow.compat.v2
  from tensorflow_ranking.python.keras import feature
label_desc: Use image node_id 1 for calling the EncodeListwiseFeaturesTest obj's underlying member method code with example usage: obj.setUp() without return types